基于能效的LTE多小区无线资源分配算法研究
发布时间：2019-04-18 12:51
【摘要】：随着无线移动通信的快速发展,用户对高速率数据业务的需求越来越大。LTE网络保障了视频、游戏、多媒体社交等应用的良好用户体验,同时也带来了巨大的能耗问题,这不仅造成了高额的运营成本,其带来的环境问题也备受社会关注。本文主要围绕LTE多小区系统的无线资源分配算法的能效问题,进行了深入研究,先分析了LTE资源分配的实体、接口和相关信令,明确了多小区资源分配的分布式模式,同时小区间可以通过X2标准接口交互资源分配信息。其次为了建立适合分析的数学模型,给出了资源的时域频域不变性假设,梳理了资源分配可以依赖的测量信息。本文介绍了LTE无线资源分配算法的研究现状,对多小区场景下以能效为目的的资源分配算法进行了重点分析。基于以上分析,本文建立了以最大化系统能效为目的,同时保障用户最小速率约束为前提的多小区子信道和功率联合分配模型。该模型属于最优化理论混合式整数规划问题,本文将其拆分成固定功率下的子信道分配问题和固定子信道分配下的功率控制问题。在固定功率下的子信道分配问题中,本文设计了三个有效的子信道分配和调整算法,包括以传统的最大载干比算法为基础,增加了对用户最小速率要求的支持,设计了排序优化的贪婪初始子信道分配算法(Sorted and Greedy Initial Subchannel Allocation,SGISA);定义了搬移、交换、替补这三种基本的子信道调整模式,在此基础上设计了基于能效的子信道调整算法(Energy-efficiency based Subchannel Adaption,ESA-1和ESA-2)。仿真验证了本文设计的分配算法可以达到子信道分配最优能效的95%,同时验证了这种优良的性能并不随用户最小速率约束和小区用户数而改变。关于固定子信道分配的LTE多小区网络功率控制问题,本文设计了一种采用干扰协调技术的基于完全信息静态非合作博弈论的数学模型,并证明了该博弈模型中纳什均衡点的存在性。基于LTE基站间的X2接口,本文设计了一种迭代的启发式算法——多小区干扰协调功率控制算法(Multi-cell Interference Coordinated Power Control,MICPC)来搜索上述博弈模型的纳什均衡点。仿真证明了该算法良好的收敛性,同时验证了采用干扰协调技术的多小区算法相比于单小区算法的优越性,在强干扰环境下这种优势更加明显。基于以上研究,本文以最大化系统能效为目的,以保障用户最小速率要求为前提,设计了子信道分配和功率控制两个阶段迭代执行的LTE多小区无线资源分配算法(Multi-cell Energy-Efficiency Resource Allocaion,MEERA),该算法每个阶段中在已经达到的能效基础上,进一步优化系统总能效,直至收敛。仿真证明了这种迭代算法良好的收敛性,同时验证了联合分配算法的优异性能。
[Abstract]:With the rapid development of wireless mobile communication, users need more and more high-speed data services. LTE network guarantees a good user experience for applications such as video, game, multimedia social, and at the same time brings huge energy consumption problems. This not only causes high operating costs, but also brings environmental problems to the attention of the society. This paper mainly focuses on the energy efficiency of wireless resource allocation algorithm in LTE multi-cell system. Firstly, the entities, interfaces and related signaling of LTE resource allocation are analyzed, and the distributed mode of multi-cell resource allocation is defined. At the same time, cell can exchange resource allocation information through X2 standard interface. Secondly, in order to establish a mathematical model suitable for analysis, the time-domain and frequency-domain invariance hypothesis of resources is given, and the measurement information that resource allocation can rely on is combed. In this paper, the research status of LTE wireless resource allocation algorithm is introduced, and the energy efficiency-oriented resource allocation algorithm in multi-cell scenario is analyzed emphatically. Based on the above analysis, a multi-region sub-channel and power joint allocation model is proposed in this paper, which aims at maximizing the energy efficiency of the system and guarantees the minimum rate constraint of users at the same time. This model belongs to the optimization theory mixed integer programming problem. In this paper, it is divided into the fixed power sub-channel assignment problem and the fixed sub-channel allocation power control problem. In the sub-channel allocation problem with fixed power, this paper designs three effective sub-channel allocation and adjustment algorithms, including the traditional maximum carrier-to-interference ratio algorithm, which increases the support for the minimum rate requirements of users. A greedy initial sub-channel allocation algorithm (Sorted and Greedy Initial Subchannel Allocation,SGISA) is designed for scheduling optimization. This paper defines three basic subchannel adjustment modes: shift switching and replacement. Based on this the energy efficiency-based sub-channel adjustment algorithms (Energy-efficiency based Subchannel Adaption,ESA-1 and ESA-2) are designed. The simulation results show that the proposed allocation algorithm can achieve 95% of the optimal energy efficiency of sub-channel allocation, and that the excellent performance does not change with the minimum user rate constraint and the number of cell users. Regarding the power control problem of LTE multi-cell network with fixed sub-channel assignment, a mathematical model based on static and non-cooperative game theory of complete information is designed in this paper, which adopts interference coordination technology. The existence of Nash equilibrium points in the game model is proved. Based on the X2 interface between LTE base stations, an iterative heuristic algorithm, multi-cell interference coordinated power control (Multi-cell Interference Coordinated Power Control,MICPC), is designed to search for Nash equilibrium points of the above game model. The simulation results show that the proposed algorithm has good convergence and that the multi-cell algorithm using interference coordination technique is superior to the single-cell algorithm, and this advantage is more obvious in the strong interference environment. Based on the above research, the purpose of this paper is to maximize the energy efficiency of the system and to guarantee the minimum rate requirements of users. An iterative LTE multi-cell radio resource allocation algorithm (Multi-cell Energy-Efficiency Resource Allocaion,MEERA) for sub-channel allocation and power control is designed. The algorithm is based on the energy efficiency achieved in each phase. Further optimize the overall system energy efficiency until convergence. The simulation results show that the iterative algorithm has good convergence and the excellent performance of the joint allocation algorithm is verified at the same time.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5
，
本文编号：2460055
[Abstract]:With the rapid development of wireless mobile communication, users need more and more high-speed data services. LTE network guarantees a good user experience for applications such as video, game, multimedia social, and at the same time brings huge energy consumption problems. This not only causes high operating costs, but also brings environmental problems to the attention of the society. This paper mainly focuses on the energy efficiency of wireless resource allocation algorithm in LTE multi-cell system. Firstly, the entities, interfaces and related signaling of LTE resource allocation are analyzed, and the distributed mode of multi-cell resource allocation is defined. At the same time, cell can exchange resource allocation information through X2 standard interface. Secondly, in order to establish a mathematical model suitable for analysis, the time-domain and frequency-domain invariance hypothesis of resources is given, and the measurement information that resource allocation can rely on is combed. In this paper, the research status of LTE wireless resource allocation algorithm is introduced, and the energy efficiency-oriented resource allocation algorithm in multi-cell scenario is analyzed emphatically. Based on the above analysis, a multi-region sub-channel and power joint allocation model is proposed in this paper, which aims at maximizing the energy efficiency of the system and guarantees the minimum rate constraint of users at the same time. This model belongs to the optimization theory mixed integer programming problem. In this paper, it is divided into the fixed power sub-channel assignment problem and the fixed sub-channel allocation power control problem. In the sub-channel allocation problem with fixed power, this paper designs three effective sub-channel allocation and adjustment algorithms, including the traditional maximum carrier-to-interference ratio algorithm, which increases the support for the minimum rate requirements of users. A greedy initial sub-channel allocation algorithm (Sorted and Greedy Initial Subchannel Allocation,SGISA) is designed for scheduling optimization. This paper defines three basic subchannel adjustment modes: shift switching and replacement. Based on this the energy efficiency-based sub-channel adjustment algorithms (Energy-efficiency based Subchannel Adaption,ESA-1 and ESA-2) are designed. The simulation results show that the proposed allocation algorithm can achieve 95% of the optimal energy efficiency of sub-channel allocation, and that the excellent performance does not change with the minimum user rate constraint and the number of cell users. Regarding the power control problem of LTE multi-cell network with fixed sub-channel assignment, a mathematical model based on static and non-cooperative game theory of complete information is designed in this paper, which adopts interference coordination technology. The existence of Nash equilibrium points in the game model is proved. Based on the X2 interface between LTE base stations, an iterative heuristic algorithm, multi-cell interference coordinated power control (Multi-cell Interference Coordinated Power Control,MICPC), is designed to search for Nash equilibrium points of the above game model. The simulation results show that the proposed algorithm has good convergence and that the multi-cell algorithm using interference coordination technique is superior to the single-cell algorithm, and this advantage is more obvious in the strong interference environment. Based on the above research, the purpose of this paper is to maximize the energy efficiency of the system and to guarantee the minimum rate requirements of users. An iterative LTE multi-cell radio resource allocation algorithm (Multi-cell Energy-Efficiency Resource Allocaion,MEERA) for sub-channel allocation and power control is designed. The algorithm is based on the energy efficiency achieved in each phase. Further optimize the overall system energy efficiency until convergence. The simulation results show that the iterative algorithm has good convergence and the excellent performance of the joint allocation algorithm is verified at the same time.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5
，
本文编号：2460055
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